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A construction-based approach to process plant layout using mixed-integer optimization
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DOI：10.1021/ie060843k.png)
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Abstract
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This paper presents a novel solution approach for addressing large-scale single-floor process plant layout problems. Based on the mixed-integer linear programming (MILP) representation proposed by Papageorgiou and Rotstein in 1998, the optimal layout (i.e., coordinates and dimensions) is determined through construction-based schemes using mixed-integer optimization. The applicability of the proposed approach is finally demonstrated through four illustrative examples by investigating flowsheets with up to 36 equipment items.
Keywords:
GENETIC ALGORITHM
DESIGN
LOCATION
MILP
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